Data Visualization with Python and JavaScript, 2/E

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Data Visualization with Python and JavaScript, 2/EHow do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts as well as Python and JavaScript developers how to create the ideal toolchain for the job. providing engaging examples and stressing hard earned best practices, this guide teaches you how to leverage the power of best of breed Python and JavaScript libraries. Python provides

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It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggling with such as: * How do we provide a framework within which we can manage our data assets

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Some selected examples have been presented with screen shot

Most difficult concepts thought students has been explained with examples and in a simplified way

Learn how the continuous improvement model governs changes throughout an API's lifetime

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focused approach explains every exam objective from a real-world perspective

a method of profiling and monitoring distributed applicationsparticularly those that use microservice architectures

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this is a must-have reference

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